Senior Platform Software Engineer

• Design and implement the CDA data platform, ensuring it is scalable, secure, extensible, and optimized for AI-driven healthcare applications.
• Collaborate closely with the CDA team, including AI researchers, software developers, and healthcare domain experts, to define and refine the platform’s architecture.
• Develop and maintain backend infrastructure, focusing on data ingestion, storage, processing, indexing, and retrieval systems.
• Implement data modeling and database design for complex healthcare data structures, including FHIR resources, EHR integration patterns, HL7, and other clinical data models.
• Integrate search technologies and natural language processing capabilities to enable conversational search, semantic search, summarization, and reliable retrieval over indexed healthcare data.
• Build and optimize data pipelines using ETL/ELT processes and tools like Kafka, Flink, and RabbitMQ for efficient data flow.
• Ensure data security and privacy by implementing access controls, encryption, auditability, data isolation, and compliance with healthcare regulations.
• Mentor and guide junior engineers, fostering a culture of knowledge-sharing and technical excellence.
• Stay updated with the latest advancements in cloud-native AI/ML, healthcare interoperability, and data platform technologies, and propose innovative solutions to enhance the CDA platform., * Be part of a groundbreaking initiative to modernize and automate patient-centric healthcare globally.
• Work with cutting-edge AI, healthcare data, and cloud technologies, pushing the boundaries of what’s possible in healthcare.
• Enjoy a collaborative and dynamic team environment that values innovation, creativity, operational ownership, and technical excellence.
• Help build reusable platform capabilities that improve delivery speed, quality, and consistency across engineering teams.
• Competitive compensation and benefits package, including professional development opportunities.
• Make a meaningful impact on the lives of patients and healthcare providers worldwide.

If you possess the required qualifications and are excited to contribute to the future of healthcare technology, we encourage you to apply. Please submit your updated resume. Let’s discuss how you can help us transform the healthcare industry through the power of AI, cloud-native engineering, and innovative data platform development

Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives.

True innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing a workforce that promotes opportunities for all with competitive benefits that support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.

• BS or MS degree in Computer Science or a related field is required, with a strong academic background.
• 4+ years of relevant software development experience, with a focus on backend, platform, or data-centric applications.
• Proficient in Java, Python, or similar object-oriented languages for building robust backend systems.
• Strong software engineering fundamentals, including expertise in data structures, algorithms, RESTful services, distributed systems, and microservices architecture.
• Hands-on experience designing and operating backend services, APIs, data pipelines, and data transformation workflows.
• Hands-on experience with cloud-native development on major cloud platforms such as OCI, Azure, GCP, or AWS; familiarity with Kubernetes, Docker, Helm, or similar infrastructure technologies; and experience with CI/CD, automated testing, integration testing, and regression testing.
• Preferred experience working with healthcare data, FHIR resources, EHR integration patterns, HL7, clinical data pipelines, or similarly complex domain-specific data contracts.
• Desired experience with technologies such as OpenSearch, Elasticsearch, Kafka, Redis, Object Storage, Flink, RabbitMQ, or similar distributed data platform technologies.
• Strong production engineering instincts, including monitoring, troubleshooting, incident response, operational readiness, and preferred familiarity with multi-tenant systems, data isolation, authorization, access controls, and auditability.
• Strong documentation habits, including onboarding guides, data specifications, runbooks, and examples, are preferred.
• Excellent communication skills for conveying complex technical concepts to both technical and non-technical stakeholders.
• Demonstrated technical leadership, ownership of ambiguous problems, and a passion for mentoring junior team members.